#include <wakeup_detect_houguoxiong_inferencing.h>

#include <WiFi.h>
#include <HTTPClient.h>
#include <ArduinoJson.h>
#include <driver/i2s.h>
#include <UrlEncode.h>
#include <base64.hpp>

// 音色配置
#define PERSON_VOICE 111  //(1：度小宇， 0：度小美， 3：度逍遥， 4：度丫丫，5118：度小鹿，106：度博文，110：度小童，111：度小萌，103：度米朵，5：度小娇)

// WiFi名和密码
const char* ssid = "";
const char* password = "";

// 百度语音 api key
const char* baidu_api_key = "";
const char* baidu_secret_key = "";

// 百度 AppBuilder Agent api key
const char* appbuilder_api_key = "";
const char* appbuilder_app_id = "";

// // Baidu 千帆大模型
// char* qianfan_api_key = "";
// char* qianfan_secret_key = "";

// // DeepSeek api key
// const char* deepseek_api_key = "";

// I2S config for MAX98357A
#define I2S_OUT_PORT I2S_NUM_1
#define I2S_OUT_BCLK 15
#define I2S_OUT_LRC 16
#define I2S_OUT_DOUT 7

// INMP441 config
#define I2S_IN_PORT I2S_NUM_0
#define I2S_IN_BCLK 4
#define I2S_IN_LRC 5
#define I2S_IN_DIN 6

// Audio recording settings
#define SAMPLE_RATE 16000
#define RECORD_TIME_SECONDS 15
#define BUFFER_SIZE (SAMPLE_RATE * RECORD_TIME_SECONDS)

// 唤醒词阈值，阈值越大，要求识别的唤醒词更精准
#define PRED_VALUE_THRESHOLD 0.7

/** Audio buffers, pointers and selectors */
typedef struct {
  int16_t* buffer;
  uint8_t buf_ready;
  uint32_t buf_count;
  uint32_t n_samples;
} inference_t;

static inference_t inference;
static const uint32_t sample_buffer_size = 2048;
static signed short sampleBuffer[sample_buffer_size];
static bool debug_nn = false;  // Set this to true to see e.g. features generated from the raw signal
static bool record_status = true;

void ledSet(uint8_t enable) {
  if (enable) {
    digitalWrite(LED_BUILTIN, HIGH);  //Turn on
    delay(10);
    digitalWrite(19, HIGH);           //Turn on
  } else {
    digitalWrite(LED_BUILTIN, LOW);  //Turn off
    delay(10);
    digitalWrite(19, LOW);           //Turn off
  }
}

void setup() {
  // 设置串口波特率
  Serial.begin(115200);

  // 设置LED输出模式，并初始化设置为低
  pinMode(LED_BUILTIN, OUTPUT);
  digitalWrite(LED_BUILTIN, LOW);  //Turn off

  // 设置LED输出模式，并初始化设置为低
  pinMode(19, OUTPUT);
  digitalWrite(19, LOW);  //Turn off

  // Connect to WiFi
  WiFi.begin(ssid, password);
  while (WiFi.status() != WL_CONNECTED) {
    delay(1000);
    Serial.println("Connecting to WiFi...");
  }
  Serial.println("Connected to WiFi");

  // Initialize I2S for audio output
  i2s_config_t i2s_config_out = {
    .mode = (i2s_mode_t)(I2S_MODE_MASTER | I2S_MODE_TX),
    .sample_rate = SAMPLE_RATE,
    .bits_per_sample = I2S_BITS_PER_SAMPLE_16BIT,
    .channel_format = I2S_CHANNEL_FMT_ONLY_RIGHT,
    .communication_format = (i2s_comm_format_t)(I2S_COMM_FORMAT_STAND_I2S),
    .intr_alloc_flags = ESP_INTR_FLAG_LEVEL1,
    .dma_buf_count = 8,
    .dma_buf_len = 1024,
  };
  i2s_pin_config_t pin_config = {
    .bck_io_num = I2S_OUT_BCLK,
    .ws_io_num = I2S_OUT_LRC,
    .data_out_num = I2S_OUT_DOUT,
    .data_in_num = -1
  };
  i2s_driver_install(I2S_OUT_PORT, &i2s_config_out, 0, NULL);
  i2s_set_pin(I2S_OUT_PORT, &pin_config);

  // Initialize I2S for audio input
  i2s_config_t i2s_config_in = {
    .mode = (i2s_mode_t)(I2S_MODE_MASTER | I2S_MODE_RX),
    .sample_rate = SAMPLE_RATE,
    .bits_per_sample = I2S_BITS_PER_SAMPLE_16BIT,  // 注意：INMP441 输出 32 位数据
    .channel_format = I2S_CHANNEL_FMT_ONLY_LEFT,
    .communication_format = i2s_comm_format_t(I2S_COMM_FORMAT_STAND_I2S),
    .intr_alloc_flags = ESP_INTR_FLAG_LEVEL1,
    .dma_buf_count = 8,
    .dma_buf_len = 1024,
  };
  i2s_pin_config_t pin_config_in = {
    .bck_io_num = I2S_IN_BCLK,
    .ws_io_num = I2S_IN_LRC,
    .data_out_num = -1,
    .data_in_num = I2S_IN_DIN
  };
  i2s_driver_install(I2S_IN_PORT, &i2s_config_in, 0, NULL);
  i2s_set_pin(I2S_IN_PORT, &pin_config_in);

  // // 开启led task
  xTaskCreate(ledControlTask, "ledControlTask", 1024 * 2, NULL, 9, NULL);

  // // 开启对话主流程
  xTaskCreate(mainChat, "mainChat", 1024 * 32, NULL, 10, NULL);

  // summary of inferencing settings (from model_metadata.h)
  ei_printf("Inferencing settings:\n");
  ei_printf("\tInterval: ");
  ei_printf_float((float)EI_CLASSIFIER_INTERVAL_MS);
  ei_printf(" ms.\n");
  ei_printf("\tFrame size: %d\n", EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE);
  ei_printf("\tSample length: %d ms.\n", EI_CLASSIFIER_RAW_SAMPLE_COUNT / 16);
  ei_printf("\tNo. of classes: %d\n", sizeof(ei_classifier_inferencing_categories) / sizeof(ei_classifier_inferencing_categories[0]));

  ei_printf("\nStarting continious inference in 2 seconds...\n");
  ei_sleep(2000);

  if (microphone_inference_start(EI_CLASSIFIER_RAW_SAMPLE_COUNT) == false) {
    ei_printf("ERR: Could not allocate audio buffer (size %d), this could be due to the window length of your model\r\n", EI_CLASSIFIER_RAW_SAMPLE_COUNT);
    return;
  }

  ei_printf("Recording...\n");
}

uint8_t g_wakeup_led = 0;
uint8_t g_sleep_led = 0;
uint8_t g_recording_led = 0;
uint8_t g_waiting_answer_led = 0;
uint8_t g_answering_led = 0;
void ledControl(uint8_t wakeup_led, uint8_t sleep_led, uint8_t recording_led, uint8_t waiting_answer_led, uint8_t answering_led)
{
  g_wakeup_led = wakeup_led;
  g_sleep_led = sleep_led;
  g_recording_led = recording_led;
  g_waiting_answer_led = waiting_answer_led;
  g_answering_led = answering_led;
}
void ledControlTask(void* arg) {
  uint8_t enable = 0;
  uint32_t step = 0;
  while(1) {
    step++;

    if (g_wakeup_led)
    {
      enable = 1;
      ledSet(enable);  //Turn on
    }

    else if (g_recording_led && (step%2 == 0))
    {
      enable ^= 1;
      ledSet(enable);  //Turn on
    }

    else if (g_waiting_answer_led && (step%10 == 0))
    {
      enable ^= 1;
      ledSet(enable);  //Turn on
    }

    else if (g_answering_led && (step%20 == 0))
    {
      enable ^= 1;
      ledSet(enable);  //Turn on
    }

    else
    {
      enable = 0;
      ledSet(enable);  //Turn off
    }

    delay(100);
  }
}

/**
 * @brief      Arduino main function. Runs the inferencing loop.
 */
void loop() {
  bool m = microphone_inference_record();
  if (!m) {
    ei_printf("ERR: Failed to record audio...\n");
    return;
  }

  signal_t signal;
  signal.total_length = EI_CLASSIFIER_RAW_SAMPLE_COUNT;
  signal.get_data = &microphone_audio_signal_get_data;
  ei_impulse_result_t result = { 0 };

  EI_IMPULSE_ERROR r = run_classifier(&signal, &result, debug_nn);
  if (r != EI_IMPULSE_OK) {
    ei_printf("ERR: Failed to run classifier (%d)\n", r);
    return;
  }

  int pred_index = -1;                      // Initialize pred_index
  float pred_value = PRED_VALUE_THRESHOLD;  // Initialize pred_value

  // print the predictions
  ei_printf("Predictions ");
  ei_printf("(DSP: %d ms., Classification: %d ms., Anomaly: %d ms.)",
            result.timing.dsp, result.timing.classification, result.timing.anomaly);
  ei_printf(": \n");
  for (size_t ix = 0; ix < EI_CLASSIFIER_LABEL_COUNT; ix++) {
    ei_printf("    %s: ", result.classification[ix].label);
    ei_printf_float(result.classification[ix].value);
    ei_printf("\n");

    // 唤醒词在第一位，此时判断classification[0]位置大于阈值表示唤醒，如果你的唤醒词在第2位，则需要判断classification[1]，第3位就是classification[2]
    if (result.classification[0].value > pred_value || result.classification[1].value > pred_value) {
      pred_index = 0;
    }
  }
  // Display inference result
  if (pred_index == 0 && record_status) {
    ledControl(1, 0, 0, 0, 0);

    Serial.println("wake up");

    playAudio_Zai();

    record_status = false;
  }

#if EI_CLASSIFIER_HAS_ANOMALY == 1
  ei_printf("    anomaly score: ");
  ei_printf_float(result.anomaly);
  ei_printf("\n");
#endif
}

static void audio_inference_callback(uint32_t n_bytes) {
  for (int i = 0; i < n_bytes >> 1; i++) {
    inference.buffer[inference.buf_count++] = sampleBuffer[i];

    if (inference.buf_count >= inference.n_samples) {
      inference.buf_count = 0;
      inference.buf_ready = 1;
    }
  }
}

static void capture_samples(void* arg) {

  const int32_t i2s_bytes_to_read = (uint32_t)arg;
  size_t bytes_read = i2s_bytes_to_read;

  while (1) {
    if (record_status) {
      /* read data at once from i2s - Modified for XIAO ESP2S3 Sense and I2S.h library */
      i2s_read(I2S_IN_PORT, (void*)sampleBuffer, i2s_bytes_to_read, &bytes_read, 100);
      // esp_i2s::i2s_read(esp_i2s::I2S_NUM_0, (void *)sampleBuffer, i2s_bytes_to_read, &bytes_read, 100);

      if (bytes_read <= 0) {
        ei_printf("Error in I2S read : %d", bytes_read);
      } else {
        if (bytes_read < i2s_bytes_to_read) {
          ei_printf("Partial I2S read");
        }

        // scale the data (otherwise the sound is too quiet)
        for (int x = 0; x < i2s_bytes_to_read / 2; x++) {
          sampleBuffer[x] = (int16_t)(sampleBuffer[x]) * 8;
        }

        audio_inference_callback(i2s_bytes_to_read);
      }
    }
    delay(1);
  }
  vTaskDelete(NULL);
}

/**
 * @brief      Init inferencing struct and setup/start PDM
 *
 * @param[in]  n_samples  The n samples
 *
 * @return     { description_of_the_return_value }
 */
static bool microphone_inference_start(uint32_t n_samples) {
  inference.buffer = (int16_t*)malloc(n_samples * sizeof(int16_t));

  if (inference.buffer == NULL) {
    return false;
  }

  inference.buf_count = 0;
  inference.n_samples = n_samples;
  inference.buf_ready = 0;

  ei_sleep(100);

  record_status = true;

  xTaskCreate(capture_samples, "CaptureSamples", 1024 * 32, (void*)sample_buffer_size, 10, NULL);

  return true;
}

/**
 * @brief      Wait on new data
 *
 * @return     True when finished
 */
static bool microphone_inference_record(void) {
  bool ret = true;

  while (inference.buf_ready == 0) {
    delay(10);
  }

  inference.buf_ready = 0;
  return ret;
}

/**
 * Get raw audio signal data
 */
static int microphone_audio_signal_get_data(size_t offset, size_t length, float* out_ptr) {
  numpy::int16_to_float(&inference.buffer[offset], out_ptr, length);

  return 0;
}

/**
 * @brief      Stop PDM and release buffers
 */
static void microphone_inference_end(void) {
  free(sampleBuffer);
  ei_free(inference.buffer);
}

#if !defined(EI_CLASSIFIER_SENSOR) || EI_CLASSIFIER_SENSOR != EI_CLASSIFIER_SENSOR_MICROPHONE
#error "Invalid model for current sensor."
#endif

//获取access token
String baidu_access_token = "";
String qianfan_access_token = "";
String appbuilder_conversation_id = "";

void mainChat(void* arg) {

  // 获取token和id
  baidu_access_token = getAccessToken(baidu_api_key, baidu_secret_key);
  qianfan_access_token = getAccessToken(qianfan_api_key, qianfan_secret_key);
  appbuilder_conversation_id = getConversation_id(appbuilder_api_key, appbuilder_app_id);

  while (1) {
    if (!record_status) {
      ledControl(0, 0, 1, 0, 0);

      // 分配内存
      uint8_t* pcm_data = (uint8_t*)ps_malloc(BUFFER_SIZE);
      if (!pcm_data) {
        Serial.println("Failed to allocate memory for pcm_data");
        return;
      }

      // Record audio from INMP441
      Serial.println("i2s_read");
      // 开始循环录音，将录制结果保存在pcm_data中
      size_t bytes_read = 0, recordingSize = 0, ttsSize = 0;
      int16_t data[512];
      size_t noVoicePre = 0, noVoiceCur = 0, noVoiceTotal = 0, VoiceCnt = 0;
      bool recording = true;
      bool recorddone = false;

      while (1) {
        ledControl(0, 0, 1, 0, 0);

        // 记录刚开始的时间
        noVoicePre = millis();

        // i2s录音
        esp_err_t result = i2s_read(I2S_IN_PORT, data, sizeof(data), &bytes_read, portMAX_DELAY);
        memcpy(pcm_data + recordingSize, data, bytes_read);
        recordingSize += bytes_read;
        Serial.printf("%x recordingSize: %d bytes_read :%d\n", pcm_data + recordingSize, recordingSize, bytes_read);

        // 计算平均值
        uint32_t sum_data = 0;
        for (int i = 0; i < bytes_read / 2; i++) {
          sum_data += abs(data[i]);
        }
        sum_data = sum_data / bytes_read;
        Serial.printf("sum_data :%d\n", sum_data);

        // 判断当没有说话时间超过一定时间时就退出录音
        noVoiceCur = millis();
        if (sum_data < 30) {
          noVoiceTotal += noVoiceCur - noVoicePre;
        } else {
          noVoiceTotal = 0;
          VoiceCnt += 1;
        }
        Serial.printf("noVoiceCur :%d noVoicePre :%d noVoiceTotal :%d VoiceCnt :%d\n", noVoiceCur, noVoicePre, noVoiceTotal, VoiceCnt);

        if (noVoiceTotal > 5000 && VoiceCnt < 20) {
          Serial.println("noVoice record");

          recordingSize = 0;
          record_status = true;

          ledControl(0, 1, 0, 0, 0);

          break;
        }

        if (noVoiceTotal > 1000 && VoiceCnt > 20)
        {
          recorddone = true;
        }

        if (recorddone || (recordingSize >= BUFFER_SIZE - bytes_read)) {
          Serial.printf("record done: %d", recordingSize);
          break;
        }
      }

      if (recordingSize > 0) {
        ledControl(0, 0, 0, 1, 0);

        // 音频转文本（语音识别API访问）
        String recognizedText = baiduSTT_Send(baidu_access_token, pcm_data, recordingSize);
        Serial.println("Recognized text: " + recognizedText);
        if (recognizedText.length() == 0)
        {
          baiduTTS_Send(baidu_access_token, "你好像没有说话，请重新开始对话");

          // 释放内存
          free(pcm_data);

          continue;
        }

        // 访问千帆大模型（LLM大模型API访问）
        // String response_answer = baiduErnieBot_Get(qianfan_access_token, recognizedText.c_str());
        // Serial.println("Ernie Bot response: " + response_answer);

        // 访问appbuilder agent
        // String response_answer = Conversation_Get(appbuilder_api_key, appbuilder_app_id, appbuilder_conversation_id.c_str(), recognizedText);
        // if (response_answer.length() == 0)
        // {
        //   baiduTTS_Send(baidu_access_token, "出错了，请重新开始对话");

        //   // 释放内存
        //   free(pcm_data);

        //   continue;
        // }

        // 访问deepseek
        String response_answer = DeepSeek_Get(deepseek_api_key, recognizedText);
        if (response_answer.length() == 0)
        {
          baiduTTS_Send(baidu_access_token, "出错了，请重新开始对话");

          // 释放内存
          free(pcm_data);

          continue;
        }

        ledControl(0, 0, 0, 0, 1);

        // 文本转音频tts并通过MAX98357A输出（语音合成API访问）
        baiduTTS_Send(baidu_access_token, response_answer);
        Serial.println("ttsSize: ");
        Serial.println(ttsSize);
      }

      // 释放内存
      free(pcm_data);
    }
    delay(10);
  }
}

// Get Baidu API access token
String getAccessToken(const char* api_key, const char* secret_key) {
  String access_token = "";
  HTTPClient http;

  // 创建http请求
  http.begin("https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=" + String(api_key) + "&client_secret=" + String(secret_key));
  int httpCode = http.POST("");

  if (httpCode == HTTP_CODE_OK) {
    String response = http.getString();
    DynamicJsonDocument doc(1024);
    deserializeJson(doc, response);
    access_token = doc["access_token"].as<String>();

    Serial.printf("[HTTP] GET access_token: %s\n", access_token.c_str());
  } else {
    Serial.printf("[HTTP] GET... failed, error: %s\n", http.errorToString(httpCode).c_str());
  }
  http.end();

  return access_token;
}

// Get Baidu API conversation id
String getConversation_id(const char* api_key, const char* app_id) {
  String conversation_id = "";

  // 创建http请求
  HTTPClient http;
  http.begin("https://qianfan.baidubce.com/v2/app/conversation");
  http.addHeader("Content-Type", "application/json");
  http.addHeader("X-Appbuilder-Authorization", "Bearer " + String(api_key));

  // 创建一个 JSON 文档
  DynamicJsonDocument requestJson(1024);
  requestJson["app_id"] = app_id;

  // 将 JSON 数据序列化为字符串
  String requestBody;
  serializeJson(requestJson, requestBody);

  // 发送http访问请求
  int httpCode = http.POST(requestBody);
  if (httpCode == HTTP_CODE_OK) {
    String response = http.getString();
    DynamicJsonDocument doc(1024);
    deserializeJson(doc, response);
    conversation_id = doc["conversation_id"].as<String>();

    Serial.printf("[HTTP] GET conversation_id: %s\n", conversation_id.c_str());
  } else {
    Serial.printf("[HTTP] GET... failed, error: %s\n", http.errorToString(httpCode).c_str());
  }
  http.end();

  return conversation_id;
}

// 调用DeepSeek API
String DeepSeek_Get(const char* api_key, String query) {
  HTTPClient http;

  // 构建请求头
  http.begin("https://api.siliconflow.cn/v1/chat/completions");
  http.setTimeout(15000);
  http.addHeader("Content-Type", "application/json");
  http.addHeader("Authorization", "Bearer " + String(api_key));

  // 构建JSON请求体
  DynamicJsonDocument doc(3072); // 根据响应长度可能需要调整大小
  doc["model"] = "deepseek-ai/DeepSeek-R1-Distill-Llama-8B";
  
  JsonArray messages = doc.createNestedArray("messages");
  JsonObject message = messages.createNestedObject();
  message["role"] = "user";
  message["content"] = query; // 使用传入的查询参数

  doc["stream"] = false;
  doc["max_tokens"] = 512;
  doc["temperature"] = 0.7;
  doc["top_p"] = 0.7;
  doc["top_k"] = 50;
  doc["frequency_penalty"] = 0.5;
  doc["n"] = 1;

  JsonArray stop = doc.createNestedArray("stop");
  stop.add("null");

  JsonObject response_format = doc.createNestedObject("response_format");
  response_format["type"] = "text";

  // 序列化JSON
  String requestBody;
  serializeJson(doc, requestBody);
  Serial.println("Request Body:\n" + requestBody);

  // 发送POST请求
  int httpCode = http.POST(requestBody);
  String response = "";

  // 处理响应
  if (httpCode == HTTP_CODE_OK) {
    String payload = http.getString();
    Serial.println("Raw Response:\n" + payload);

    // 解析JSON响应
    DynamicJsonDocument resDoc(3072);
    DeserializationError error = deserializeJson(resDoc, payload);
    
    if (!error) {
      if (resDoc.containsKey("choices")) {
        response = resDoc["choices"][0]["message"]["content"].as<String>();
      } else {
        Serial.println("No 'choices' in response");
      }
    } else {
      Serial.print("JSON parse failed: ");
      Serial.println(error.c_str());
    }
  } else {
    Serial.printf("HTTP Error: %d - %s\n", httpCode, http.errorToString(httpCode).c_str());
  }

  http.end();
  return response;
}

// Get Baidu API conversation id
String Conversation_Get(const char* api_key, const char* app_id, const char* conversation_id, String query) {
  String get_conversation_id = "";
  String get_conversation_answer = "";

  // 创建http请求
  HTTPClient http;
  http.begin("https://qianfan.baidubce.com/v2/app/conversation/runs");
  http.addHeader("Content-Type", "application/json");
  http.addHeader("X-Appbuilder-Authorization", "Bearer " + String(api_key));

  // 创建一个 JSON 文档
  DynamicJsonDocument requestJson(1024);
  requestJson["app_id"] = app_id;
  requestJson["query"] = query;
  requestJson["conversation_id"] = conversation_id;
  requestJson["stream"] = false;

  // 将 JSON 数据序列化为字符串
  String requestBody;
  serializeJson(requestJson, requestBody);

  // 发送http访问请求
  int httpCode = http.POST(requestBody);
  if (httpCode == HTTP_CODE_OK) {
    String response = http.getString();
    DynamicJsonDocument doc(4096);
    deserializeJson(doc, response);
    get_conversation_id = doc["conversation_id"].as<String>();
    Serial.printf("[HTTP] GET get_conversation_id: %s\n", get_conversation_id.c_str());

    get_conversation_answer = doc["answer"].as<String>();
    Serial.printf("[HTTP] GET get_conversation_answer: %s\n", get_conversation_answer.c_str());
  } else {
    Serial.printf("[HTTP] GET... failed, error: %s\n", http.errorToString(httpCode).c_str());
  }
  http.end();

  return get_conversation_answer;
}

String baiduSTT_Send(String access_token, uint8_t* audioData, int audioDataSize) {
  String recognizedText = "";

  if (access_token == "") {
    Serial.println("access_token is null");
    return recognizedText;
  }

  // audio数据包许愿哦进行Base64编码，数据量会增大1/3
  int audio_data_len = audioDataSize * sizeof(char) * 1.4;
  unsigned char* audioDataBase64 = (unsigned char*)ps_malloc(audio_data_len);
  if (!audioDataBase64) {
    Serial.println("Failed to allocate memory for audioDataBase64");
    return recognizedText;
  }

  // json包大小，由于需要将audioData数据进行Base64的编码，数据量会增大1/3
  int data_json_len = audioDataSize * sizeof(char) * 1.4;
  char* data_json = (char*)ps_malloc(data_json_len);
  if (!data_json) {
    Serial.println("Failed to allocate memory for data_json");
    return recognizedText;
  }

  // Base64 encode audio data
  encode_base64(audioData, audioDataSize, audioDataBase64);

  memset(data_json, '\0', data_json_len);
  strcat(data_json, "{");
  strcat(data_json, "\"format\":\"pcm\",");
  strcat(data_json, "\"rate\":16000,");
  strcat(data_json, "\"dev_pid\":1537,");
  strcat(data_json, "\"channel\":1,");
  strcat(data_json, "\"cuid\":\"57722200\",");
  strcat(data_json, "\"token\":\"");
  strcat(data_json, access_token.c_str());
  strcat(data_json, "\",");
  sprintf(data_json + strlen(data_json), "\"len\":%d,", audioDataSize);
  strcat(data_json, "\"speech\":\"");
  strcat(data_json, (const char*)audioDataBase64);
  strcat(data_json, "\"");
  strcat(data_json, "}");

  // 创建http请求
  HTTPClient http_client;

  http_client.begin("http://vop.baidu.com/server_api");
  http_client.addHeader("Content-Type", "application/json");
  int httpCode = http_client.POST(data_json);

  if (httpCode > 0) {
    if (httpCode == HTTP_CODE_OK) {
      // 获取返回结果
      String response = http_client.getString();
      Serial.println(response);

      // 从json中解析对应的result
      DynamicJsonDocument responseDoc(2048);
      deserializeJson(responseDoc, response);
      recognizedText = responseDoc["result"].as<String>();
    }
  } else {
    Serial.printf("[HTTP] POST failed, error: %s\n", http_client.errorToString(httpCode).c_str());
  }

  // 释放内存
  if (audioDataBase64) {
    free(audioDataBase64);
  }

  if (data_json) {
    free(data_json);
  }

  http_client.end();

  return recognizedText;
}

// Get response from Baidu Ernie Bot
String baiduErnieBot_Get(String access_token, String prompt) {
  String ernieResponse = "";

  if (access_token == "") {
    Serial.println("access_token is null");
    ernieResponse = "获取access token失败";
    return ernieResponse;
  }

  if (prompt.length() == 0) {
    ernieResponse = "识别出错了";
    return ernieResponse;
  }

  // 角色设定
  prompt += "你是一个语音助手，类似朋友的角色进行回答下面的问题，并且要求最多20个字简短的回答。";

  // 创建http, 添加访问url和头信息
  HTTPClient http;

  // 千帆大模型API
  const char* ernie_api_url = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-lite-8k?access_token=";

  http.begin(ernie_api_url + String(access_token));
  http.addHeader("Content-Type", "application/json");

  // 创建一个 JSON 文档
  DynamicJsonDocument doc(2048);

  // 创建 messages 数组
  JsonArray messages = doc.createNestedArray("messages");

  // 创建 message 对象并添加到 messages 数组
  JsonObject message = messages.createNestedObject();
  message["role"] = "user";
  message["content"] = prompt;

  // 添加其他字段
  doc["disable_search"] = false;
  doc["enable_citation"] = false;

  // 将 JSON 数据序列化为字符串
  String requestBody;
  serializeJson(doc, requestBody);

  // 发送http访问请求
  int httpCode = http.POST(requestBody);

  // 访问结果的判断
  if (httpCode == HTTP_CODE_OK) {
    // 获取返回结果并解析
    String response = http.getString();
    Serial.println(response);

    DynamicJsonDocument responseDoc(2048);
    deserializeJson(responseDoc, response);

    ernieResponse = responseDoc["result"].as<String>();
  } else {
    Serial.printf("[HTTP] POST... failed, error: %s\n", http.errorToString(httpCode).c_str());
  }

  // 结束http访问
  http.end();

  // 返回响应数据
  return ernieResponse;
}

void baiduTTS_Send(String access_token, String text) {
  if (access_token == "") {
    Serial.println("access_token is null");
    return;
  }

  if (text.length() == 0) {
    Serial.println("text is null");
    return;
  }

  const int per = PERSON_VOICE;
  const int spd = 6;
  const int pit = 5;
  const int vol = 15;
  const int aue = 6;

  // 进行 URL 编码
  String encodedText = urlEncode(urlEncode(text));

  // URL http请求数据封装
  String url = "https://tsn.baidu.com/text2audio";

  const char* header[] = { "Content-Type", "Content-Length" };

  url += "?tok=" + access_token;
  url += "&tex=" + encodedText;
  url += "&per=" + String(per);
  url += "&spd=" + String(spd);
  url += "&pit=" + String(pit);
  url += "&vol=" + String(vol);
  url += "&aue=" + String(aue);
  url += "&cuid=esp32s3";
  url += "&lan=zh";
  url += "&ctp=1";

  // http请求创建
  HTTPClient http;

  http.begin(url);
  http.collectHeaders(header, 2);

  int httpResponseCode = http.GET();
  if (httpResponseCode > 0) {
    if (httpResponseCode == HTTP_CODE_OK) {
      String contentType = http.header("Content-Type");
      if (contentType.startsWith("audio")) {
        Serial.println("合成成功");

        uint8_t buffer[128] = {0}; // Increased buffer size for smoother playback
        size_t bytesRead = 0;

        int len = http.getSize(); // 读取响应正文数据字节数，如果返回-1是因为响应头中没有Content-Length属性
        // 获取返回的音频数据流
        WiFiClient * stream = http.getStreamPtr();

        while (http.connected() && (len > 0 || len == -1)) // 当前已连接并且有数据可读
        {
          size_t size = stream->available(); // 获取数据流中可用字节数
          if (size)
          {
            int c = stream->readBytes(buffer, ((size > sizeof(buffer)) ? sizeof(buffer) : size)); // 读取数据到buffer
            playAudio(buffer, c);
            if (len > 0)
            {
              len -= c;
            }
          }
          delay(1);
        }

        // Flush and stop I2S after all data is processed
        // 清空I2S DMA缓冲区
        delay(200);
        clearAudio();
      } else if (contentType.equals("application/json")) {
        Serial.println("合成出现错误");
        String response = http.getString(); // Print the error JSON for debugging
        Serial.println(response);

      } else {
        Serial.println("未知的Content-Type: " + contentType);
      }
    } else {
      Serial.print("Error code: ");
      Serial.println(httpResponseCode);
      String response = http.getString(); // Print the error response for debugging
      Serial.println(response);
    }
  } else {
    Serial.print("Error code: ");
    Serial.println(httpResponseCode);
  }
  http.end();
}

// void baiduTTS_Send(String access_token, String text) {
//   if (access_token == "") {
//     Serial.println("access_token is null");
//     return;
//   }

//   if (text.length() == 0) {
//     Serial.println("text is null");
//     return;
//   }

//   const int per = PERSON_VOICE;
//   const int spd = 6;
//   const int pit = 5;
//   const int vol = 15;
//   const int aue = 6;

//   // 进行 URL 编码
//   String encodedText = urlEncode(urlEncode(text));

//   // URL http请求数据封装
//   String url = "https://tsn.baidu.com/text2audio";

//   const char* header[] = { "Content-Type", "Content-Length" };

//   url += "?tok=" + access_token;
//   url += "&tex=" + encodedText;
//   url += "&per=" + String(per);
//   url += "&spd=" + String(spd);
//   url += "&pit=" + String(pit);
//   url += "&vol=" + String(vol);
//   url += "&aue=" + String(aue);
//   url += "&cuid=esp32s3";
//   url += "&lan=zh";
//   url += "&ctp=1";

//   // http请求创建
//   HTTPClient http;

//   http.begin(url);
//   http.collectHeaders(header, 2);

//   // http请求
//   int httpResponseCode = http.GET();
//   if (httpResponseCode > 0) {
//     if (httpResponseCode == HTTP_CODE_OK) {
//       String contentType = http.header("Content-Type");
//       Serial.println(contentType);
//       if (contentType.startsWith("audio")) {
//         Serial.println("合成成功");

//         // 获取返回的音频数据流
//         Stream* stream = http.getStreamPtr();
//         uint8_t buffer[64];
//         size_t bytesRead = 0;

//         // 设置timeout为200ms 避免最后出现杂音
//         //stream->setTimeout(200);

//         while (http.connected() && (bytesRead = stream->readBytes(buffer, sizeof(buffer))) > 0) {
//           // 音频输出
//           playAudio(buffer, bytesRead);
// //          delay(1);
//         }

//         // 清空I2S DMA缓冲区
//         clearAudio();
//       } else if (contentType.equals("application/json")) {
//         Serial.println("合成出现错误");
//       } else {
//         Serial.println("未知的Content-Type");
//       }
//     } else {
//       Serial.println("Failed to receive audio file");
//     }
//   } else {
//     Serial.print("Error code: ");
//     Serial.println(httpResponseCode);
//   }
//   http.end();
// }

// Play audio data using MAX98357A
void playAudio(uint8_t* audioData, size_t audioDataSize) {
  if (audioDataSize > 0) {
    // 发送
    size_t bytes_written = 0;
    i2s_write(I2S_OUT_PORT, (int16_t*)audioData, audioDataSize, &bytes_written, portMAX_DELAY);
  }
}

void clearAudio(void) {
  // 清空I2S DMA缓冲区
  i2s_zero_dma_buffer(I2S_OUT_PORT);
  Serial.print("clearAudio");
}

//(1：度小宇， 0：度小美， 3：度逍遥， 4：度丫丫，5118：度小鹿，106：度博文，110：度小童，111：度小萌，103：度米朵，5：度小娇)
#if PERSON_VOICE == 1
  const char* zai = 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#elif PERSON_VOICE == 0
  const char* zai = "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#elif PERSON_VOICE == 3
  const char* zai = 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#elif PERSON_VOICE == 4
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#elif PERSON_VOICE == 5118
  const char* zai = 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#elif PERSON_VOICE == 106
  const char* zai = 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#elif PERSON_VOICE == 110
  const char* zai = 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#elif PERSON_VOICE == 111
  const char* zai = 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#elif PERSON_VOICE == 103
  const char* zai = 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#elif PERSON_VOICE == 5
  const char* zai = 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#endif

// Play zai audio data using MAX98357A
void playAudio_Zai(void) {
  // 分配内存
  uint8_t* decode_data = (uint8_t*)ps_malloc(16000 * 3);
  if (!decode_data) {
    Serial.println("Failed to allocate memory for decode_data");
    return;
  }

  // base64 解析
  int decoded_length = decode_base64((unsigned char*)zai, (unsigned char*)decode_data);

  // 播放
  playAudio(decode_data, decoded_length);

  // delay 200ms
  delay(200);

  // 清空I2S DMA缓冲区
  clearAudio();

  // 释放内存
  free(decode_data);
}
